The design and evaluation of a computer-based training system for foreign destination coding desk operators. In: Training, human decision making and control

1989 ◽  
Vol 20 (3) ◽  
pp. 236
Author(s):  
Mark Wiggins ◽  
David O'Hare

Inappropriate and ineffective weather-related decision making continues to account for a significant proportion of general aviation fatalities in the United States and elsewhere. This study details the evaluation of a computer-based training system that was developed to provide visual pilots with the skills necessary to recognize and respond to the cues associated with deteriorating weather conditions during flight. A total of 66 pilots were assigned to one of two groups, and the evaluation process was undertaken at both a self-report and performance level. At the self-report level, the results suggested that pilots were more likely to use the cues following exposure to the training program. From a performance perspective, there is evidence to suggest that cue-based training can improve the timeliness of weather-related decision making during visual flight rules flight. Actual or potential applications of this research include the development of computer-based training systems for fault diagnosis in complex industrial environments.


2002 ◽  
Vol 15 (2) ◽  
pp. 201-214 ◽  
Author(s):  
Alexei Machovikov ◽  
Kirill Stolyarov ◽  
Maxim Chernov ◽  
Ian Sinclair ◽  
Iliana Machovikova

Author(s):  
Armin Beverungen

This chapter interrogates the executive dashboard as a contemporary example of the deployment of computation in management. Conceptualizing the dashboard as an interface, it explores how it reconfigures human–machine relations and their respective intelligences. The dashboard separates the executive manager and the computational system, as much as it augments both in their capacities for decision and control. Human decision making emerges as a residuality and an exception to computational processes, while decision making is also distributed within and delegated to the technical system. The dashboarding of human–machine intelligences produces a smartness characterizing contemporary computation, management, and organization.


1989 ◽  
Vol 33 (14) ◽  
pp. 883-887 ◽  
Author(s):  
Alan F. Stokes ◽  
Mireille Raby

The study reported here is part of a continuing program of research into pilot decision-making based on an information processing model of human decision-making under task-related stress. This model posits, inter alia, that experts and novices in a knowledge domain adopt different cognitive strategies in solving decision problems, and that these strategies are differentially affected by stress. The present experiment examined the effect of task-related stress upon aviation-relevant cognitive skills in trainee instrument pilots using SPARTANS, an automated test battery. The battery was administered under stress and control conditions, providing data on the effects of the stress manipulation upon putative cognitive components of decision-making independent of the criterion task - simulated flight using the MIDIS microcomputer system. The results provide evidence of stress related decrements in working memory, flexibility of closure, and spatial processes, but not in the retrieval of declarative knowledge. These results are discussed in the light of the model's predictions and previous empirical results using MIDIS.


1995 ◽  
Vol 32 (1) ◽  
pp. 5-20
Author(s):  
Xin Li ◽  
Zenon J. Pudlowski

An interactive computer-based training system for electrical engineering education A computer learning network including an interactive computer-based training system (ICBTS) for electrical engineering has been developed. This article discusses the integration of instruction design, courseware delivery and students' performance analysis into one flexible system through computer-based learning. It considers the design and development of ICBTS, which is suitable for engineering students at university level.


2015 ◽  
Vol 34 (5) ◽  
pp. 401-410 ◽  
Author(s):  
Sungho Kim ◽  
Soojung Lee ◽  
Kiwon Lee ◽  
Baekhee Lee ◽  
Jihyung Lee ◽  
...  

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